compute_stat: Computing Score Test Statistics.

In IrisTeng/CVEK: Cross-Validated Kernel Ensemble

Description

Compute score test statistics.

Usage

compute_stat(n, Y, X12, beta0, K_gpr, sigma2_hat, tau_hat)

Arguments

n	(integer) A numeric number specifying the number of observations.
Y	(vector of length n) Reponses of the dataframe.
X12	(dataframe, n*(p1\*p2)) The interaction items of first and second types of factors in the dataframe.
beta0	(numeric) Estimated bias of the model.
K_gpr	(matrix, n*n) Estimated ensemble kernel matrix.
sigma2_hat	(numeric) The estimated noise of the fixed effects.
tau_hat	(numeric) The estimated noise of the random effects.

Details

The test statistic is distributed as a scaled Chi-squared distribution.

Value

test_stat	(numeric) The computed test statistic.
V0_inv	(numeric) The computed test statistic.

Author(s)

Wenying Deng

References

Arnab Maity and Xihong Lin. Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines. December 2011.

Examples

compute_stat(n = 100, Y, X12, beta0, K_gpr, sigma2_hat, tau_hat)

IrisTeng/CVEK documentation built on May 31, 2019, 4:50 p.m.